Lei Jiao

Education

*Universitetet i Agder (UiA)

Doctor of Philosophy (Ph.D.), information and communication technology, 2008 – 2012.

Supervisors: Prof. Dr. Frank Yong Li, and Prof. Dr. Vicent Pla

*Shandong University

Master of Engineering, communication and information system, 2005 – 2008.

Supervisor: Prof. Dr. Jianping Xing

Best Master Thesis Award (~2%), Shandong University, 2009.

*Hunan University

Bachelor of engineering, telecommunication engineering, 2001 – 2005.

Experience:

*Guest researcher

Hunan University: July 2015

The host professor is Dr. Fanzi Zeng.

*Associate Professor

University of Agder: May 2014-present.

*Postdoc Researcher

University of Agder: May 2012-December 2014. 

The postdoc position is supported by the Norwegian research council through ECO-boat mid of life (ECO-boat MOL). Project manager: Dr. Bjørnar Henriksen.

*Visiting researcher

Beijing University of Post and Telecommunications: January 2014 

The host professor is Dr. Lin Zhang.

*Visiting researcher

Carleton University: December 2012 – January 2013 

The main research topic is adopting latest machine learning techniques for modern communication systems. The host professor is Dr. B. John Oommen.

*Visiting Researcher

University of Minnesota: October 2010 – February 2011 

The main research topic is optimization techniques in signal processing and wireless communications. The host professor is Dr. Zhi-Quan (Tom) Luo.

*Visiting Researcher

Universidad Politecnica de Valencia: April 2009 

The main research topic of this visiting is modeling of stochastic process in communication systems. The host professor is Dr. Vicent Pla.

*Research Assistant

Navigation and Communication Co-system Engineering Center, Shandong Province: August 2006 – July 2008

The main research topic is applications of WSNs in intelligent transportation systems. This research position is supported by NSFC under the research project “The Basic Theory and Key Technology of the United Information Network of Space, Air, and Land” with grant agreement No. 60532030. The project manager is Dr. Jun Zhang. 

*Research Assistant

Jinan Jossinfo Intelligent Technology Co., Ltd: September 2005 – July 2008.

Visitors: 

• Dr. Liqin Cao, Wuhan University, China.
• Dr. Yuanwei Liu, Queen Mary University of London, UK.

Publications:

Book:

Lei Jiao, "Channel Aggregation and Fragmentation for Traffic Flows", Springer, 2020, ISBN: 978-3-030-33080-4.

Selected journal papers:

1. Yuanbin Chen, Ying Wang, and Lei Jiao, "Robust Transmission for Reconfigurable Intelligent Surface Aided Millimeter Wave Vehicular Communications With Statistical CSI", IEEE Transactions on Wireless Communications, accepted, Jul. 2021.
2. Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, and Morten Goodwin, "On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators", IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, May 2021. 
3. Rohan Kumar Yadav, Lei Jiao, Morten Goodwin and Ole-Christoffer Granmo, "Positionless Aspect based Sentiment Analysis Using AttentionMechanism", knowledge-based systems, accepted, May 2021.
4. Ziaul Haq Abbas, Zaiwar Ali, Ghulam Abbas, Lei Jiao, Muhammad Bilal, Doug Suh, Md. Piran, "Computational Offloading in Mobile Edge with Comprehensive and Energy Efficient Cost Function: A Deep Learning Approach", Sensors, accepted, May 2021.  
5. Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Kim Halvorsen, Alf Ring Kleiven, Lei Jiao, Morten Goodwin, "Temperate Fish Detection and Classification: a Deep Learning based Approach", Applied Intelligence, accepted, Dec. 2020. 
6. Yuanbin Chen, Ying Wang, Man Liu, Jiayi Zhang, and Lei Jiao, "Network Slicing Enabled Resource Management for Service-Oriented Ultra-Reliable and Low-Latency Vehicular Networks", IEEE Transactions on Vehicular Technology, Vol. 69, no. 7, pp. 7847 - 7862, July 2020.  
7. Zhong Yang, Yuanwei Liu, Yue Chen, and Lei Jiao, "Learning automata based Q-learning for content placement in cooperative caching", IEEE Transactions on Communications, volume 68, no. 6, pp. 3667 - 3680. June 2020.
8. Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, Ángel Álvarez Pardiña, Armin Hafner, and Mohan Lal Kolhe, "ANN modelling of CO2 refrigerant cooling system COP in a smart warehouse", Journal of Cleaner Production, Vol. 260, 2020. 
9. Zhijiang Li, Yingping Zheng, Liqin Cao, Lei Jiao, Yanfei Zhong, and Caiyi Zhang, "A Student's t‐based density peaks clustering with superpixel segmentation (tDPCSS) method for image color clustering", Color Research & Application,  volume 45, issue 4, pp. 656-670, Aug. 2020. (Cover Article)
10. Xiang Xiao, Fanzi Zeng, Zhenzhen Hu, and Lei Jiao, "Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks", Sensors, 2020, 20, 3800. 
11. Arif Ullah Khan, Ziaul Haq Abbas, Ghulam Abbas, Fazal Muhammad, and Lei Jiao, "Performance Analysis of User-Centric SBS Deployment with Load Balancing in Heterogeneous Cellular Networks: A Thomas Cluster Process Approach", Computer Networks, accepted, Jan. 2020.
12. Arif Ullah Khan, Ziaul Haq Abbas, Fazal Muhammad, Ghulam Abbas, and Lei Jiao, "Capacity Driven Small Cell Deployment in Heterogeneous Cellular Networks with User- Centric SBS deployment: Outage Probability and Rate Coverage Analysis", Transactions on Emerging Telecommunications Technologies, accepted, Dec. 2019.
13. K. Darshana Abeyrathna, Ole-Christoffer Granmo, Xuan Zhang, Lei Jiao and Morten Goodwin, "The Regression Tsetlin Machine - A Novel Approach to Interpretable Non-Linear Regression", Philosophical Transactions of the Royal Society A, Dec. 2019.
14. Zaiwar Ali, Lei Jiao, Thar Baker, Ghulam Abbas, Ziaul Haq Abbas, and Sadia Khaf, "A Deep Learning Approach for Energy Efficient Computational Offloading in Mobile Edge Computing", IEEE Access, Vol. 7, page 149623-149633, 2019.
15. Zhijiang Li, Haonan Zhu, Liqin Cao, Lei Jiao, Yanfei Zhong, Ailong Ma, "Face Inpainting via Nested Generative Adversarial Networks", IEEE Access, Vol. 7, page 155462-155471, 2019.
16. Geir Thore Berge, Ole-Christoffer Granmo, Tor Oddbjørn Tveit, Morten Goodwin, Lei Jiao, and Bernt Viggo Matheussen, "Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications", IEEE Access, Vol. 7, page 115134-115146, 2019.
17. Anis Yazidi, Xuan Zhang, Lei Jiao, John B. Oommen, "The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments with Large Numbers of Actions", IEEE Transactions on Neural Networks and Learning Systems, accepted, Mar. 2019.
18. Xuan Zhang, Lei Jiao, John B. Oommen, and Ole-Christoffer Granmo, "A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton", IEEE Transactions on Neural Networks and Learning Systems, accepted, Feb. 2019. 
19. Zhijiang Li, Zhenshan Tan, Liqin Cao, Hu Chen, Lei Jiao, and Yanfei Zhong, "Directive local color transfer based on dynamic look-up table", Signal Processing: Image Communication,  Vol. 79, pp. 1–12, 2019.
20. Sachula Meng, Ying Wang, Lei Jiao, Zhongyu Miao, Kai Sun, "Hierarchical Evolutionary Game Based Dynamic Cloudlet Selection and Bandwidth Allocation for Mobile Cloud Computing Environment", IET Communications, Vol. 13, No. 1, pp. 16-25, 2019.
21. Alamgir Naushad, Ghulam Abbas, Ziaul Haq Abbas, Lei Jiao, "A Novel Faster Failure Detection Strategy for Link Connectivity using Hello Messaging in Mobile Ad Hoc Networks", International Journal of Ad Hoc and Ubiquitous Computing. Accepted, Nov. 2018. 
22. Fanzi Zeng, Jisheng Xu, Yongfeng Li, Kang Li, Lei Jiao, "Performance analysis of underlay two-way relay cooperation in cognitive radio networks with energy harvesting", Computer Networks, Vol. 142, pp. 13-23, Sept. 2018.
23. Rajan Thapa, Lei Jiao, John B. Oommen, Anis Yazidi, “A Learning Automaton-based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids”, IEEE Access, vol. 6, pp. 5348-5361, 2018.
24. Liqin Cao, Lei Jiao, Zhijiang Li, Tingting Liu, and Yanfei Zhong, “Grayscale Image Colorization Using an Adaptive Weighted Average Method”, Journal of Imaging Science and Technology, Vol. 61, No. 6, November 2017.
25. Ziaul Haq Abbas, Fazal Muhammad,Lei Jiao, “Analysis of Load Balancing and Interference Management in Heterogeneous Cellular Networks”, IEEE Access, vol. 5, pp. 14690-14705, 2017.
26. Ying Wang, Peilong Li,Lei Jiao, Zhou Su, Nan Cheng, Xuemin (Sherman) Shen, and Ping Zhang, “A Data-Driven Architecture for Personalized QoE Management in 5G Wireless Networks”, IEEE Wireless Communications, vol. 24, no. 1, pp. 102-110, Feb. 2017.
27. Muhammad Mussawer Pervez, Ziaul Haq Abbas, Fazal Muhammad,Lei Jiao, “Location-Based Coverage and Capacity Analysis of a Two Tier HetNet”, IET Communications, vol. 11, no. 7, pp. 1067-1073, May 2017.
28. Ying Wang, Zhongyu Miao, and Lei Jiao, "Safeguarding the Ultra-dense Networks with the aid of Physical Layer Security: A review and a case study," IEEE Access, vol. 4, pp. 9082-9092, Dec. 2016.
29. Fazal Muhammad, Ziaul Haq Abbas, Ghulam Abbas, and Lei Jiao, "Decoupled Downlink-Uplink Coverage Analysis with Interference Management for Enriched Heterogeneous Cellular Networks," IEEE Access, vol. 4, pp. 6250 - 6260, Sept. 2016.
30. Ying Wang, Zhongyu Miao, Ruijin Sun, and Lei Jiao, "Distributed Coalitional Game for Friendly Jammer Selection in Ultra-dense Networks," EURASIP Journal on Wireless Communications and Networking, September 2016. DOI: 10.1186/s13638-016-0702-5.
31. Xuan Zhang, John B. Oommen, Ole-Christoffer Granmo, and Lei Jiao, “A Formal Proof of the epsilon-Optimality of discretized pursuit algorithms,” Applied Intelligence, March 2016, Volume 44, Issue 2, pp 282–294.
32. Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, and John B. Oommen, “Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach,” Applied Intelligence, March 2016, Volume 44, Issue 2, pp 307–321.
33. Lei Jiao, Indika A. M. Balapuwaduge, Frank Y. Li,  and Vicent Pla, “On the Performance of Channel Assembling and Fragmentation in Cognitive Radio Networks,” IEEE Transactions on Wireless Communications, vol. 13, no. 10, pp. 5661-5674, Oct. 2014.
34. Xuan Zhang, John B. Oommen, Ole-Christoffer Granmo, and Lei Jiao, “A Formal Proof of the epsilon-Optimality of Absorbing Continuous Pursuit Algorithms Using the Theory of Regular Functions,” Applied Intelligence, vol. 41, no. 3, pp. 974-985, 2014.
35. Indika A. M. Balapuwaduge, Lei Jiao, Vicent Pla, and Frank Y. Li, “Channel Assembling with Priority-based Multiple Queues in Cognitive Radio Networks: Strategy and Performance Evaluation,” IEEE Transactions on Wireless Communications, vol. 13, no.2, pp. 630-645, Feb. 2014.
36. Lei Jiao, Enbin Song, Frank Y. Li, and Vicent Pla, “Capacity Upper Bound of Channel Assembling in Cognitive Radio Networks with Quasistationary Primary User Activities,” IEEE Transactions on Vehicular Technology, vol. 62, no. 4, pp. 1849-1855, May 2013.
37. Lei Jiao, Frank Y. Li, and Vicent Pla, “Modeling and Performance Analysis of Channel Assembling in Multi-channel Cognitive Radio Networks with Spectrum Adaptation,” IEEE Transactions on Vehicular Technology, vol. 61, no. 6, pp. 2686 - 2697, Jul. 2012.
38. Lei Jiao and Frank Y. Li, “A Dynamic Parallel-rendezvous MAC Mechanism in Multi-rate Cognitive Radio Networks: Mechanism Design and Performance Evaluation,” Journal of Communications, Academy Publisher, vol. 4, no. 10, pp. 752-765, Nov.2009.

Selected conference papers:

1. Abeyrathna, K. Darshana, Bimal Bhattarai, Morten Goodwin, Saeed Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, and Rohan K. Yadav. "Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling",  ICML accepted (2021).
2. Rebekka Olsson Omslandseter, Lei Jiao, and B. John Oommen, "A Learning-Automata Based Solution for Non-Equal Partitioning: Partitions with Common GCD Sizes", IEA/AIE 2021, accepted. (full paper)
3. Rebekka Olsson Omslandseter, Lei Jiao, and B. John Oommen, "Object Migration Automata for Non-Equal Partitioning Problems with Known Partition Sizes", AIAI 2021, accepted. (full paper) 
4. Bimal Bhattarai, Ole-Christoffer Granmo, and Lei Jiao, "Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier", in ICAART 2021 (full paper).
5. Rohan Yadav, Lei Jiao, Ole-Christoffer Granmo, and Morten Goodwin, "Interpretable Classification of Word Sense Disambiguation Using Tsetlin Machine", in ICAART 2021 (full paper).
6. Rohan Yadav, Lei Jiao, Ole-Christoffer Granmo, and Morten Goodwin, "Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis", in AAAI 2021.
7. S. M. Opalic, M. Goodwin, L. Jiao, H. K. Nielsen and M. Lal Kolhe, "A Deep Reinforcement Learning scheme for Battery Energy Management," the 5th International Conference on Smart and Sustainable Technologies (SpliTech), 2020, Split, Croatia.
8. Rebekka Olsson Omslandseter, Lei Jiao, Yuanwei Liu, and B. John Oommen, "User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution", in IEA/AIE, Sept. 2020,  Kitakyushu, Japan. 
9. Rohan Kumar Yadav, Bimal Bhattarai, Lei Jiao, Morten Goodwin, and Ole-Christoffer Granmo, "Indoor Space Classification Using Cascaded LSTM", in 15th IEEE Conference on Industrial Electronics and Applications (ICIEA), Jun. 2020, Kristiansand, Norway, Accepted.
10. K. Darshana Abeyrathna, Ole-Christoffer Granmo, Lei Jiao, and Morten Goodwin, "The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems", in Proc. EPIA, Sept. 2019, Vila Real, Portugal.
11. Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, and Mohan Lal Kolhe, "Modelling of Compressors in an Industrial CO22-Based Operational Cooling System Using ANN for Energy Management Purposes", in Proc. EANN, May 2019, Crete, Greece.
12. Erlend Olsvik, Christian M. D. Trinh, Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Alf Ring Kleiven, Lei Jiao, and Morten Goodwin, "Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation", in Proc. IEA/AIE, Jul. 2019, Graz, Austria. (A Best Paper Award)
13. Thomas Jordbru, Lei Jiao, and Linga Reddy Cenkeramaddi, "UDP flows in Cognitive Radios with Channel Aggregation and Fragmentation: A Test-bed Based Evaluation", in Proc. IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Dec. 2018, Radisson Blu, Indore, India.
14. Rebekka Olsson Omslandseter, Lei Jiao, and Magne Arild Haglund, "Parameter Calibrations and Field Measurements of Propagation Model for Digital Audio Broadcasting in Norway", in proc. IEEE VTC, Sept. 2018, Chicago, US.
15. Svein Inge Albrigtsen, Alexander Imenes, Morten Goodwin, Lei Jiao, and Vimala Nunavath, "Neuroevolution of Actively Controlled Virtual Characters-An Experiment for an Eight-Legged Character," In Proc. 19th Engineering Applications of Neural Networks (EANN), Sept. 2018, Bristol, UK.
16. Anis Yazidi, Xuan Zhang, Lei Jiao, and John B. Oommen, "The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions," in Proc. International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2018, Rhodes, Greece.
17. Min Zhang, Lei Jiao, “On the Performance of Multiplexing Real-Time VBR Traffic with Multiple Hysteresis Areas,” in Proc. 23rd European Wireless, May 2017, Dresden, Germany.
18. Rajan Thapa, Lei Jiao, John B. Oommen, Anis Yazidi, “Scheduling Domestic Shiftable Loads in Smart Grids: A Learning Automata-Based Scheme,” in Proc. 2nd EAI International Conference on Smart Grid Inspired Future Technologies, Mar. 2017, London, Great Britain.(The Best Paper Award)
19. Fazal Muhammad, Ziaul Haq Abbass, and Lei Jiao, "Analysis of Interference Avoidance with Load Balancing in Heterogeneous Cellular Networks," in Proc. IEEE PIMRC 2016.
20. Liqin Cao, Lei Jiao, Zhijiang Li, “Image Colorization Method Using Texture Descriptors and ISLIC Segmentation,” Lecture Notes in Electrical Engineering, vol. 417, pp. 9-16, Mar. 2017.
21. Songpu Ai, Lei Jiao, Frank Y. Li, and Milka Radin, “Channel Aggregation with Guard-Band in DOFDM based CRNs: Modeling and Performance Evaluation” in Proc. IEEE WCNC, April 3-6 2016, Doha, Qatar.
22. Songpu Ai, Mohan Lal Kolhe, Lei Jiao, Nils Ulltveit-Moe, and Qi Zhang, “Domestic Demand Predictions Considering Influence of External Environmental Parameters,” in proc. 13th IEEE International Conference on Industrial Informatics (INDIN), Jul. 22-24, 2015, Cambridge, UK.
23. Xuan Zhang, John B. Oommen, Ole-Christoffer Granmo, and Lei Jiao, “Using the Theory of Regular Functions to Formally Prove the epsilon-Optimality of Discretized Pursuit Learning Algorithms,” in proc. IEA/AIE, June 3-6, 2014, Kaohsiung, Taiwan. (The Best Paper Award)
24. Lei Jiao, Xuan Zhang, Ole-Christoffer Granmo, and John B. Oommen, “A Bayesian Learning Automata-based Distributed Channel Selection Scheme for Cognitive Radio Networks,”  in proc. IEA/AIE, June 3-6, 2014, Kaohsiung, Taiwan.
25. Huihui Yang, Lei Jiao, and Oleshchuk Vladimir, “A General Framework for Group Authentication and Key Exchange Protocols,” LNCS, vol. 8352, pp. 31-45, 2014.
26. Xuan Zhang, Lei Jiao, Ole-Christoffer Granmo, and B. John Oommen, “Channel Selection in Cognitive Radio Networks: A Switchable Bayesian Learning Automata Approach,” in Proc. IEEE PIMRC, 8-11 Sept., 2013, London, UK.
27. Xuan Zhang, Ole-Christoffer Granmo, B. John Oommen, and Lei Jiao, “On Using the Theory of Regular Functions to Prove the epsilon-Optimality of the Continuous Pursuit Learning Automaton,” in proc. IEA/AIE, 17-21, Jun., 2013, Amsterdam, Netherlands.
28. Qihao Li, Lei Jiao, and Frank Y. Li, “Performance Evaluation of the GCR Block ACK Mechanism in IEEE 802.11aa Networks,” in Proc. European Wireless, 18-20 Apr. 2012, Guildford, UK. 
29. Lei Jiao, Ke Yu, and Frank Y. Li, “Distributed Routing and Channel Allocation in Multi-channel Multi-hop Ad Hoc Networks,” in Proc. IEEE WCNC, 7-10 Apr. 2013, Shanghai, China.
30. Indika A. M. Balapuwaduge, Lei Jiao, and Frank Y. Li, “Complexity Analysis of Spectrum Access Strategies with Channel Assembling in CR Networks,” in Proc. IEEE GLOBECOM, 3-7 Dec. 2012, Anaheim, CA, USA. 
31. Indika A. M. Balapuwaduge, Lei Jiao, and Frank Y. Li, "A Markov Chain Model for Performance Analysis of VBR Voice using Multiple Thresholds," in Proc. European Wireless, 18-20 Apr. 2012, Poznan, Poland. 
32. Lei Jiao, Frank Y. Li, and Vicent Pla, “Dynamic Channel Aggregation Strategies in Cognitive Radio Networks with Spectrum Adaptation,” in Proc. IEEE GLOBECOM, 5-9 Dec. 2011, Houston, TX, USA.
33. Lei Jiao, Meisam Razaviyayn, Enbin Song, Zhi-Quan Luo, and Frank Y. Li, “Power Allocation in Multi-channel Cognitive Radio Networks with Channel Assembling,” in Proc. IEEE SPAWC, 26-29 Jun. 2011, San Francisco, USA.
34. Lei Jiao, Frank Y. Li, and Vicent Pla, “Greedy versus Dynamic Channel Aggregation Strategy in CRNs: Markov Models and Performance Evaluation,” in Proc. IFIP workshop on Performance Evaluation of Cognitive Radio Networks (PE-CRN), 13 May 2011, Valencia, Spain.
35. Lei Jiao, Vicent Pla, and Frank Y. Li, “Analysis on Channel Bonding/Aggregation for Multi-channel Cognitive Radio Networks,” in Proc. European Wireless, 12-15 Apr. 2010, Lucca, Italy.
36. Lei Jiao and Frank Y. Li, “Single Radio Based Channel Datarate Aware Parallel Rendezvous MAC Protocol for Cognitive Radio Networks,” in Proc. IEEE LCN, 20-23, Oct. 2009, Zurich, Switzerland. (Full paper).
37. Lei Jiao and Frank Y. Li, “MAC Strategiesfor Single Rendezvous Multi-hop Cognitive Radio Networks,” in Proc. IEEE PIMRC, 14-16 Sept. 2009, Tokyo, Japan.
38. Lei Jiao, Jianping Xing, and Frank Y. Li, “Performance Comparison of Residual Related Algorithms for ToA Positioning in Wireless Terrestrial and Sensor Networks,” in Proc. WirelessVITAE, 17-20 May 2009, Aalborg, Denmark.
39. Lei Jiao, Frank Y. Li, and Zhengyou Xu, “LCRT: A ToA Based Mobile Terminal Localization Algorithm in NLOS Environment,” in Proc. IEEE VTC, 26–29 Apr. 2009, Barcelona, Spain.
40. Lei Jiao, Jianping Xing, Jun Zhang, Xuan Zhang, and Chaoli Zhao, “LCC-Rwgh: A NLOS Error Mitigation Algorithm for Localization in Wireless Sensor Network,” in Proc. IEEE International Conference on Control and Automation, 30 May-1 Jun. 2007, Guangzhou, China. 

PhD candidates:

• Svein Anders Tunheim. Topic: Tsetlin machine and its hardware development (Main supervisor)
• Bimal Bhattarai. Topic: Chatbot for loyalty (Co-supervisor)
• Rohan Kumar Yadav. Topic: Chatbot for education (Main supervisor)
• Rebekka Olsson Omslandseter. Topic: Advanced reinforcement learning algorithms and their applications (Main supervisor)
• Sven Myrdahl Opalic. Topic: ANN and its applications in modern energy systems (Co-supervisor)
• Zaiwar Ali. Topic: Computational Offloading in Mobile Edge Computing through Deep Learning (Co-supervisor. GIK Institute of Engineering Sciences and Technology, Pakistan)

Master thesis supervision:

• Emilija Jasinskaite and Øyvor Y. Skjei, "Combining DeepPrivacy with an Attribute-driven Generative Adversarial Network to Preserve Gender and Age in De-identified CCTV Footage", 2021 (Co-supervisor: Prof. Morten Goodwin)
• Robin Omslandseter, "An Environment-Adaptive Approach for Indoor Localization Using the Tsetlin Machine", 2021 (Co-supervisor: Prof. Ole-Christoffer Granmo)
• Jakob Michael Voigt, "Classification of GNSS Jammers using Machine Learning--A Multivariate Time Series and Image Classification based Approaches", 2021. 
• Rebekka O. Omslandseter, "Learning Automata-Based Object Partitioning with Pre-Specified Cardinalities", 2020. (Best Master Thesis Award. Co-supervisor: Prof. John B. Oommen)
• Adrian Langemyr, "Predicting Electrical Power Consumption on Yearly Eventsfor Substations: Algorithm Design and Performance Evaluations", 2020. (Co-supervisor: Prof. Frank Reichert).  
• Eivind Lindseth, "An encoder-decoder based deep learning approach for anonymization of visual surveillance media with preservation of utility", 2020. (Main supervisor: Associate Prof. Morten Goodwin; Co-supervisor: Dr. Bente Skattør)
• Erik Bøtun and Henrik Bugge Halvorsen, "Computer Vision based Auxiliary System for Computer Assembly: System Design and Implementation", 2019.
• Maria Thalina Broen, Atle Fjelde Kristiansen, and Joakim Risa Sloreby, "AI enabled educator with adaptive learning graph: a video-game based implementation", 2019.
• Christopher Dambakk, "The Maritime Pickup and Delivery Problemwith Cost and Time Window Constraints: System Modeling and A* Based Solution", 2019.
• Sahand Johansen and Tommy Sandtorv Johannessen, "A Deep Learning Approach for Recognizing Daily Movement Patterns through Accelerometer Data", 2018. (Co-supervisor: Associate Prof. Morten Goodwin)
• Erlend Olsvik, Christian M. D. Trinh,"Biometric Fish Classification of Nordic Species Using Convolutional Neural Network with Squeeze-and-Excitation", 2018. (Main supervisor: Associate Prof. Morten Goodwin)
• Magnus Lysfjord, "Deep Learning for predicting energy consumption", 2017. (Main supervisor: Associate Prof. Morten Goodwin) 
• Rajan Thapa, "A Learning Automata based Shiftable Domestic Load Scheduling in Smart Grid: Accuracy and Fairness", 2016. 
• Songpu Ai, "Domestic Electricity Demand and Peak Predictions Considering Influence of Weather Parameters", 2015. (Main supervisor: Prof. Dr. Mohan L. Kolhe)
• Gaoqiang Zhuo, "Marine Data Collection and Transmission System for ECO-boat", 2014.
• Chi Winth Ea and Morten Sørbø, "Multi-purpose Embedded Communication Gateway: System Design and Testbed Implementation", 2014.
• Baddam Sriram Reddy and Xiaolong Chen, “Data Collection and Transmission for Leisure Time Boats based on Arduino WSNs and LTE", 2013. (Co-supervisor: Prof. Dr. Frank Y. Li)
• Mingli Yue and Yihai Sun, “Marine Data Collection based on Embedded System with Wired and Wireless Transmission", 2013. (Co-supervisor: Prof. Dr. Frank Y. Li)
• Qihao Li, “Performance Evaluation of the GCR Block ACK Mechanism in IEEE 802.11aa Networks", 2013. (Co-supervisor: Prof. Dr. Frank Y. Li)
• Zhaohan Jia, “GPS-based Collision Avoidance for Moving Vehicles: Algorithm, Implementation and Testing", 2012. (Main supervisor: Prof. Dr. Frank Y. Li)
• Indika A. M. Balapuwaduge, “Performance Evaluation of Channel Aggregation Strategies in Cognitive Radio Networks with Queues", 2012. (Best Master Thesis Award. Main supervisor: Prof. Dr. Frank Y. Li)

Academic services since 2011

• Reviewer for IEEE Journal on Selected Areas in Communications (IEEE JSAC), IEEE Transactions on Vehicular Technology (IEEE TVT), IEEE Transactions on Computers, IEEE Transactions on Wireless Communications (IEEE TWC), IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), IEEE Internet of Things Journal, IEEE Wireless Communications Magazine, ACM Transactions on Multimedia computing, Communications and Applications (TOMM), IET Communications, Knowledge-Based Systems (ELSEVIER KNOSYS), IEEE Wireless Communication Letters (IEEE WCL), IEEE Access, Sensors (MDPI), Wireless Networks (Spinger), Computer & Electrical Engineering (ELSEVIER), International Journal of Computer Applications, ACM Mobicom, IEEE ICC, GLOBECOM, WCNC, ICCSPA, WiMob, VTC, etc.
• TPC member in IEEE ISIEA 2010, WICON 2013, IEEE GLOBECOM workshop on D2D communications 2013, IEEE ICC workshop on D2D communications 2015. IEEE ICC Communications QoS, Reliability and Modelling Symposium 2016. IEEE ICC Wireless Networking Symposium 2017, 2018, 2019. IEEE WCNC Wireless Network Symposium 2019.
• General Co-chair, International Workshop on Functional Reverse Engineering of Machine Tools (WRE), 2018, Topi, Pakistan.
• Proctor for team(s) from University of Agder for IEEE XTREME programming competition, 2011 and 2012.

Teaching activities

• 2013-present ELE215G Aksess i trådløse nettverk (Access in wireless network), Bachelor course for Electronics, together with Magne Arild Haglund.
• 2016-present ELE213G Signalbehandling (Signal processing), Bachelor course for Electronics
• 2015-present IKT436G Advanced Internet Services and Protocol, Master course for Information and Communication Technology